Cloud Solutions Architect (Web & Face to Face Interview at Austin, TX) jobs in United States
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Jobs via Dice ยท 4 days ago

Cloud Solutions Architect (Web & Face to Face Interview at Austin, TX)

Dice is the leading career destination for tech experts at every stage of their careers, and they are seeking a Cloud Solutions Architect for their client, Digerati Systems Inc. The role involves directing cloud computing initiatives, designing cloud application architecture, and ensuring compliance with industry standards while collaborating with stakeholders to translate business needs into technical solutions.

Computer Software

Responsibilities

Design, develop and maintain cloud application architecture that aligns with business goals and technical requirements
Design scalable, secure, and resilient cloud infrastructure that ensure best practices in cloud architecture
Assess the current infrastructure and identify components suitable for cloud migration. Develop a comprehensive migration strategy, including timelines and resource allocation
Implement and validate the migration, ensuring data integrity and system functionality
Ensure cloud architecture complies with industry standards and regulatory requirements
Implement security measures to protect data and applications in the cloud
Monitor cloud system performance and identify areas for improvement
Implement solutions to enhance performance, scalability, and reliability
Collaborate with stakeholders to understand business needs and translate them into technical solutions
Provide guidance and support to other IT team members on cloud technologies and best practices
Stay updated with the latest cloud technologies and industry trends
Identify opportunities for innovation and improvement in cloud architecture and services
Guide technical and business decision-makers on AI/Machine Learning/Deep Learning and generative AI projects, helping to map Azure, Google and AWS services
Analyze the services to extract technical and business insights that drive reference architectures, runbooks, and training content

Qualification

Cloud architectureCloud migration strategyMachine Learning solutionsCloud security frameworksCI/CD pipelinesContainerizationInfrastructure as CodeAPI designMicroservicesCloud cost optimizationSystem performance monitoringAWS technologiesAI servicesCloud CertificationCommunication skillsCross-functional teamwork

Required

10 years experience architecting enterprise application solutions across on-premises and cloud infrastructure
8 years architecting solutions in one or more of the cloud platforms: Google Cloud Platform, and AWS
8 years developing cloud native application architectures across leading cloud platforms
8 years architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
8 years experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS or google technologies

Preferred

Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls
Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc
Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation
Proficiency in languages such as Python, Java, C#, and scripting languages for automation
Knowledge of API design, development, and management, including RESTful and SOAP APIs
Knowledge of microservices, serverless architectures, and cloud-native application development
Ability to analyze and optimize cloud costs while maintaining performance and reliability
Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders
Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders
Skills in monitoring and analyzing system performance to ensure optimal cloud operations
Experience with AWS technologies like Bedrock, SageMaker, Redshift, EC2, Data Pipeline, Kinesis and EMR
Experience with AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and other toolset
Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

Company

Jobs via Dice

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